In [1]:
x = arange(10)
y = arange(20)
z = arange(30)
In [2]:
c_[x,y,z]
In [3]:
r_[x,y,z]
Out[3]:
In [4]:
x = arange(10)
y = arange(10)
z = arange(10)
In [5]:
c_[x,y,z]
Out[5]:
In [6]:
cc = c_[x,y,z]
In [7]:
cc.shape
Out[7]:
In [8]:
import largescalestructure
In [9]:
import largescalestructure as lss
In [10]:
import datapath
import fitsio
clusters = fitsio.read('/Users/Benjamin/AstroData/Clusters/redmapper_dr8_public_v5.2_catalog.fits')
In [11]:
ra = clusters['RA']
dec = clusters['DEC']
In [12]:
xx = clusters['PZ']
xmaxindx = argmax(xx, axis=1)
yy = clusters['PZBINS']
z = yy[np.arange(25325),xmaxindx]
zcoord = c_[z,ra,dec]
In [13]:
reload(lss)
Out[13]:
In [14]:
lss.comoving_neighbors(zcoord,zcoord,nthneighbor=2,maxscale=5.)
In [15]:
reload(lss)
Out[15]:
In [16]:
lss.comoving_neighbors(zcoord,zcoord,nthneighbor=2,maxscale=5.)
In [17]:
reload(lss)
Out[17]:
In [18]:
lss.comoving_neighbors(zcoord,zcoord,nthneighbor=2,maxscale=5.)
In [19]:
zcoord.shape
Out[19]:
In [20]:
reload(lss)
Out[20]:
In [21]:
lss.comoving_neighbors(zcoord,zcoord,nthneighbor=2,maxscale=5.)
In [22]:
reload(lss)
Out[22]:
In [23]:
indx1, indx2, ds = lss.comoving_neighbors(zcoord,zcoord,nthneighbor=2,maxscale=5.)
In [24]:
reload(lss)
Out[24]:
In [25]:
indx1, indx2, ds = lss.comoving_neighbors(zcoord,zcoord,nthneighbor=2,maxscale=5.)
In [26]:
indx1.shape
Out[26]:
In [28]:
lss.cosmo.comoving_distance(1.0, lss._CosPar)
Out[28]:
In [29]:
Pi
In [30]:
pi
Out[30]:
In [31]:
np.pi
Out[31]:
In [32]:
reload(lss)
Out[32]:
In [33]:
indx1, indx2, ds = lss.comoving_neighbors(zcoord,zcoord,nthneighbor=2,maxscale=5.)
In [34]:
indx1.shape
Out[34]:
In [35]:
ds
Out[35]:
In [36]:
zcoord[0:10,:]
Out[36]:
In [37]:
ra[0:10]
Out[37]:
In [38]:
zcoord.shape
Out[38]:
In [39]:
ra.shape
dec.shape
Out[39]:
In [40]:
dec[0:10]
Out[40]:
In [41]:
zcoord = c_[z,ra,dec]
In [42]:
zcoord[0:10,:]
Out[42]:
In [43]:
reload(lss)
Out[43]:
In [44]:
indx1, indx2, ds = lss.comoving_neighbors(zcoord,zcoord,nthneighbor=2,maxscale=5.)
In [45]:
c = np.array([[ 1, 2, 3],
[-1, 1, 4]])
In [46]:
c.shape
Out[46]:
In [47]:
linalg.norm(c,axis=1)
Out[47]:
In [48]:
sqrt(1.+2.*2.+3.*3.)
Out[48]:
In [49]:
reload(lss)
Out[49]:
In [50]:
indx1, indx2, ds = lss.comoving_neighbors(zcoord,zcoord,nthneighbor=2,maxscale=5.)
In [51]:
reload(lss)
Out[51]:
In [52]:
indx1, indx2, ds = lss.comoving_neighbors(zcoord,zcoord,nthneighbor=2,maxscale=5.)
In [53]:
indx1.shape
Out[53]:
In [54]:
ds
Out[54]:
In [55]:
zcoord[indx1,1]
Out[55]:
In [56]:
zcoord[indx1,2]
Out[56]:
In [1]:
zcoord
In [2]:
import datapath
import fitsio
clusters = fitsio.read('/Users/Benjamin/AstroData/Clusters/redmapper_dr8_public_v5.2_catalog.fits')
In [3]:
ra = clusters['RA']
dec = clusters['DEC']
In [5]:
import healpy as hp
In [6]:
hp.ang2pix(8,pi/6.,0.)
Out[6]:
In [7]:
hp.mollview(arange(2.*8**2))
In [8]:
%history
In [9]:
%history ~1/
In [10]:
hp.mollview(np.arange(12*8**2))
In [22]:
hp.mollview(np.arange(12*2**2))
hp.projplot(pi/6., 0.25*pi, 'ro')
In [12]:
hp.ang2pix(8,pi/6.,0.)
Out[12]:
In [13]:
hp.ang2pix(2,pi/6.,0.)
Out[13]:
In [14]:
cos(pi/6.)
Out[14]:
In [15]:
hp.ang2pix(2,pi/6.,0.25*pi)
Out[15]:
In [16]:
hp.graticule()
In [1]:
allruns
In [ ]: